| 2016 | Multi-Domain Manifold Learning for Drug-Target Interaction Prediction. | Ruichu Cai, Zhenjie Zhang, Srinivasan Parthasarathy, Anthony K. H. Tung, Zhifeng Hao, Wen Zhang |
| 2016 | Kernelized Sparse Self-Representation for Clustering and Recommendation. | Xiao Bian, Feng Li, Xia Ning |
| 2016 | Exploiting Emotional Information for Trust/Distrust Prediction. | Ghazaleh Beigi, Jiliang Tang, Suhang Wang, Huan Liu |
| 2016 | Untitled record | Artem Barger, Dan Feldman |
| 2016 | TerseSVM : A Scalable Approach for Learning Compact Models in Large-scale Classification. | Rohit Babbar, Krikamol Muandet, Bernhard Schlkopf |
| 2016 | Infusing Geo-Recency Mixture Models for Effective Location Prediction in LBSN. | Roland Assam, Subramanyam Sathyanarayana, Thomas Seidl |
| 2016 | Power Simultaneous Spectral Data Embedding and Clustering. | Kais Allab, Lazhar Labiod, Mohamed Nadif |
| 2016 | A Framework to Adjust Dependency Measure Estimates for Chance. | Simone Romano, Xuan Vinh Nguyen, James Bailey, Karin Verspoor |
| 2015 | An LLE based Heterogeneous Metric Learning for Cross-media Retrieval. | Peng Zhou, Liang Du, Mingyu Fan, Yi-Dong Shen |
| 2015 | Spectral Embedding of Signed Networks. | Quan Zheng, David B. Skillicorn |
| 2015 | Spatiotemporal Event Forecasting in Social Media. | Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan |
| 2015 | Community Detection for Emerging Networks. | Jiawei Zhang, Philip S. Yu |
| 2015 | From Categorical to Numerical: Multiple Transitive Distance Learning and Embedding. | Kai Zhang, Qiaojun Wang, Zhengzhang Chen, Ivan Marsic, Vipin Kumar, Guofei Jiang, Jie Zhang |
| 2015 | PatentCom: A Comparative View of Patent Document Retrieval. | Longhui Zhang, Lei Li, Chao Shen, Tao Li |
| 2015 | Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs. | Shuangfei Zhai, Zhongfei (Mark) Zhang |
| 2015 | Convex Matrix Completion: A Trace-Ball Optimization Perspective. | Guangxiang Zeng, Ping Luo, Enhong Chen, Hui Xiong, Hengshu Zhu, Qi Liu |
| 2015 | Learning Complex Rare Categories with Dual Heterogeneity. | Pei Yang, Jingrui He, Jia-Yu Pan |
| 2015 | Faster Jobs in Distributed Data Processing using Multi-Task Learning. | Neeraja Jayant Yadwadkar, Bharath Hariharan, Joseph Gonzalez, Randy H. Katz |
| 2015 | Exploring the Impact of Dynamic Mutual Influence on Social Event Participation. | Tong Xu, Hao Zhong, Hengshu Zhu, Hui Xiong, Enhong Chen, Guannan Liu |
| 2015 | FORMULA: FactORized MUlti-task LeArning for task discovery in personalized medical models. | Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan |
| 2015 | Combating Product Review Spam Campaigns via Multiple Heterogeneous Pairwise Features. | Chang Xu, Jie Zhang |
| 2015 | Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data. | Houping Xiao, Yaliang Li, Jing Gao, Fei Wang, Liang Ge, Wei Fan, Long H. Vu, Deepak S. Turaga |
| 2015 | Back Matter. | |
| 2015 | Front Matter. | |
| 2015 | Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing. | Xinyu Wu, Ping Luo, Qing He, Tianshu Feng, Fuzhen Zhuang |